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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM DataStage

    Score8 out of 10
    N/AIBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, and the cloud-based DataStage for IBM Cloud Pak® for Data offers automated integration capabilities in a hybrid or multicloud environment.N/A

    SAP Analytics Cloud

    Score8.1 out of 10
    N/AThe SAP Analytics Cloud solution brings together analytics and planning with integration to SAP applications and access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help make decisions without doubt.

    $36

    per month per user

    Pricing
    IBM DataStageSAP Analytics Cloud
    Editions & Modules
    No answers on this topic
    SAP Analytics Cloud for Business Intelligence
    $36.00
    per month per user
    SAP Analytics Cloud for Planning
    Price upon request
    per month per user
    Offerings
    Pricing Offerings
    IBM DataStageSAP Analytics Cloud
    Free Trial
    YesYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—A 30-day trial with SAP Analytics Cloud is available, supporting analytics enterprise-wide. A trial can be extended up to 90 days on request.
    More Pricing Information
    Community Pulse
    IBM DataStageSAP Analytics Cloud
    Considered Both Products
    IBM
    No answer on this topic
    SAP
    No answer on this topic
    Key User Insights
    Would buy again
    89%
    Would buy again
    8 Answers
    94%
    Would buy again
    313 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    5 Answers
    96%
    Delivers good value for the price
    266 Answers
    Happy with the feature set
    89%
    Happy with the feature set
    8 Answers
    90%
    Happy with the feature set
    300 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    7 Answers
    85%
    Lived up to sales and marketing promises
    178 Answers
    Implementation went as expected
    88%
    Implementation went as expected
    7 Answers
    85%
    Implementation went as expected
    221 Answers
    Features
    IBM DataStageSAP Analytics Cloud
    Data Source Connection
    Comparison of Data Source Connection features of IBM DataStage and SAP Analytics Cloud
    Feature
    IBM DataStage
    7.7
    11 Ratings
    8% below category average
    SAP Analytics Cloud
    -
    Ratings
    Connect to traditional data sources7.911 Ratings00 Ratings
    Connecto to Big Data and NoSQL7.610 Ratings00 Ratings
    Data Transformations
    Comparison of Data Transformations features of IBM DataStage and SAP Analytics Cloud
    Feature
    IBM DataStage
    7.6
    11 Ratings
    7% below category average
    SAP Analytics Cloud
    -
    Ratings
    Simple transformations8.011 Ratings00 Ratings
    Complex transformations7.311 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of IBM DataStage and SAP Analytics Cloud
    Feature
    IBM DataStage
    7.2
    11 Ratings
    10% below category average
    SAP Analytics Cloud
    -
    Ratings
    Data model creation7.18 Ratings00 Ratings
    Metadata management5.010 Ratings00 Ratings
    Business rules and workflow7.410 Ratings00 Ratings
    Collaboration7.411 Ratings00 Ratings
    Testing and debugging6.711 Ratings00 Ratings
    Data Governance
    Comparison of Data Governance features of IBM DataStage and SAP Analytics Cloud
    Feature
    IBM DataStage
    5.3
    10 Ratings
    42% below category average
    SAP Analytics Cloud
    -
    Ratings
    Integration with data quality tools5.310 Ratings00 Ratings
    Integration with MDM tools5.310 Ratings00 Ratings
    BI Standard Reporting
    Comparison of BI Standard Reporting features of IBM DataStage and SAP Analytics Cloud
    Feature
    IBM DataStage
    -
    Ratings
    SAP Analytics Cloud
    7.6
    357 Ratings
    7% below category average
    Pixel Perfect reports00 Ratings7.4302 Ratings
    Customizable dashboards00 Ratings7.9345 Ratings
    Report Formatting Templates00 Ratings7.4319 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of IBM DataStage and SAP Analytics Cloud
    Feature
    IBM DataStage
    -
    Ratings
    SAP Analytics Cloud
    7.5
    358 Ratings
    6% below category average
    Drill-down analysis00 Ratings7.9348 Ratings
    Formatting capabilities00 Ratings7.3345 Ratings
    Integration with R or other statistical packages00 Ratings6.9256 Ratings
    Report sharing and collaboration00 Ratings8.1334 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of IBM DataStage and SAP Analytics Cloud
    Feature
    IBM DataStage
    -
    Ratings
    SAP Analytics Cloud
    7.4
    339 Ratings
    10% below category average
    Publish to Web00 Ratings7.7290 Ratings
    Publish to PDF00 Ratings7.8321 Ratings
    Report Versioning00 Ratings7.5282 Ratings
    Report Delivery Scheduling00 Ratings7.5278 Ratings
    Delivery to Remote Servers00 Ratings6.758 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of IBM DataStage and SAP Analytics Cloud
    Feature
    IBM DataStage
    -
    Ratings
    SAP Analytics Cloud
    7.4
    343 Ratings
    8% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.8325 Ratings
    Location Analytics / Geographic Visualization00 Ratings7.5312 Ratings
    Predictive Analytics00 Ratings7.2312 Ratings
    Pattern Recognition and Data Mining00 Ratings7.099 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of IBM DataStage and SAP Analytics Cloud
    Feature
    IBM DataStage
    -
    Ratings
    SAP Analytics Cloud
    8.2
    349 Ratings
    3% below category average
    Multi-User Support (named login)00 Ratings8.2323 Ratings
    Role-Based Security Model00 Ratings8.1331 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.1324 Ratings
    Report-Level Access Control00 Ratings8.2134 Ratings
    Single Sign-On (SSO)00 Ratings8.5327 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of IBM DataStage and SAP Analytics Cloud
    Feature
    IBM DataStage
    -
    Ratings
    SAP Analytics Cloud
    7.4
    294 Ratings
    5% below category average
    Responsive Design for Web Access00 Ratings7.5283 Ratings
    Mobile Application00 Ratings6.8247 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings7.0274 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of IBM DataStage and SAP Analytics Cloud
    Feature
    IBM DataStage
    -
    Ratings
    SAP Analytics Cloud
    7.1
    66 Ratings
    9% below category average
    REST API00 Ratings7.156 Ratings
    Javascript API00 Ratings7.049 Ratings
    iFrames00 Ratings7.143 Ratings
    Java API00 Ratings7.142 Ratings
    Themeable User Interface (UI)00 Ratings7.451 Ratings
    Customizable Platform (Open Source)00 Ratings6.843 Ratings
    Best Alternatives
    IBM DataStageSAP Analytics Cloud
    Small Businesses
    Skyvia
    Score10 out of 10
    Cyfe
    Score4 out of 10
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score10 out of 10
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    Enterprises
    SolarWinds Task Factory
    Score8.3 out of 10
    Sisense
    Score6.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM DataStageSAP Analytics Cloud
    Likelihood to Recommend
    5.9
    (11 ratings)
    8.1
    (382 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.7
    (22 ratings)
    Usability
    8.0
    (4 ratings)
    7.7
    (307 ratings)
    Availability
    -
    (0 ratings)
    5.0
    (1 ratings)
    Performance
    9.0
    (1 ratings)
    4.0
    (1 ratings)
    Support Rating
    9.6
    (3 ratings)
    6.3
    (73 ratings)
    In-Person Training
    -
    (0 ratings)
    9.0
    (1 ratings)
    Online Training
    -
    (0 ratings)
    5.1
    (2 ratings)
    Implementation Rating
    -
    (0 ratings)
    6.3
    (9 ratings)
    Configurability
    -
    (0 ratings)
    5.0
    (1 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    8.0
    (1 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    8.0
    (61 ratings)
    Data Sources
    -
    (0 ratings)
    8.1
    (61 ratings)
    Ease of integration
    -
    (0 ratings)
    6.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    7.0
    (1 ratings)
    Professional Services
    -
    (0 ratings)
    8.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    IBM DataStageSAP Analytics Cloud
    Likelihood to Recommend
    IBM
    DataStage is somewhat outdated for an ETL. I guess that's what makes it a bit lagged behind its competitors. It can be used for data processing, sure, but its performance seems to be lagging behind or quite slow given the server it is running from. I won’t depend on this application if it's handling a lot of mission-critical banking and business data.
    Read full review
    SAP
    >> Using SAC predictive analytics capabilities for inventory management in a Production line setup has helped generate Purchase Requisitions and Purchase Orders for raw or semi-finished goods without much head-banging into Demand management rules. It does it beautifully with seamless integration with HANA core MM and PP modules, along with BI integration. It has resulted in 30% greater warehouse storage capacity, thereby saving revenue from piled-up inventory and associated manpower costs. >> SAC sometimes shows latency in working out a large data set, thus giving a poor user experience compared to its competition. Also, it may occasionally show misinterpretations when embedding data from 3rd-party systems into the HANA core dataset.
    Incentivized
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    Pros
    IBM
    • Connect to multiple types of data-sources including Oracle, Teradata, Snowflake, SQl Server.
    • Powerful tool to load large volumes of data.
    • Transformation stages allow us to reduce the amount of code needed to create ETL scripts.
    • Allow us to synchronize and refresh data as much as needed.
    Incentivized
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    SAP
    • It makes it easier yo analyse order and related records easily.
    • We can easily maintain and track the performance of employees in organisation.
    • Can easily track various aspects for the growth of an organisation thus allowing real time analysis and tracking of organisation's growth and performance.
    Incentivized
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    Cons
    IBM
    • Technical support is a key area IBM should improve for this product. Sometimes our case is assigned to a support engineer and he has no idea of the product or services.
    • Provide custom reports for datastage jobs and performance such as job history reports, warning messages or error messages.
    • Make it fully compatible with Oracle and users can direct use of Oracle ODBC drivers instead of Data Direct driver. Same for SQL server.
    Incentivized
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    SAP
    • Complexity in Data Modeling
    • SAC supports various data sources, but improvements in the ease of connecting to and integrating with certain data repositories, especially non-SAP databases, would enhance the platform's versatility and integration capabilities.
    • An offline mode for SAC could be valuable for users who need to access and analyze data without an internet connection. Additionally, optimizing performance for large datasets and complex visualizations would contribute to a smoother user experience.
    Incentivized
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    Likelihood to Renew
    IBM
    No answers on this topic
    SAP
    We are planning to review the licensing as we have issues with SAC dealing with huge datasets. Analytics area is good for import models but when we have live connections in place that's when we have issue with SAC dealing with huge datasets in live be it BW or be it HANA models in the backend.
    Incentivized
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    Usability
    IBM
    Because it is robust, and it is being continuously improved. DS is one of the most used and recognized tools in the market. Large companies have implemented it in the first instance to develop their DW, but finding the advantages it has, they could use it for other types of projects such as migrations, application feeding, etc.
    Incentivized
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    SAP
    I landed on a 7 out of 10 for a few key reasons. The tool is flexible in the sense that we are using very very very (very) little off the shelf solutions and customizing to our needs. Users enjoy having the customized data actions, key variance calculations, and easy to use headcount/salary planning in the same tool. One downside is that users are hard to please when they are used to excel. SAP Analytics Cloud simply is not excel, and the flexibility of excel in a crunch is not there.
    Incentivized
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    Reliability and Availability
    IBM
    No answers on this topic
    SAP
    I would rate SAP Analytics Cloud an 8 out of 10 for scalability. It offers a flexible, cloud-based architecture that supports expansion across departments and geographies. The platform adapts well to growing data volumes and user needs, making it a strong choice for organizations looking to scale analytics capabilities efficiently.
    Incentivized
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    Performance
    IBM
    It could load thousands of records in seconds. But in the Parallel version, you need to understand how to particionate the data. If you use the algorithms erroneously, or the functionalities that it gives for the parsing of data, the performance can fall drastically, even with few records. It is necessary to have people with experience to be able to determine which algorithm to use and understand why.
    Incentivized
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    SAP
    I would rate SAP Analytics Cloud’s performance an 8 out of 10. Pages generally load quickly, and reports run within a reasonable time frame, even with complex datasets. Integration with other systems is smooth and doesn’t noticeably affect performance. Overall, it’s a responsive and efficient tool for business analytics. But
    Incentivized
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    Support Rating
    IBM
    IBM offers different levels of support but in my experience being and IBM shop helps to get direct support from more knowledgeable technicians from IBM. Not sure on the cost of having this kind of support, but I know there's also general support and community blogs and websites on the Internet make it easy to troubleshoot issues whenever there's need for that.
    Incentivized
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    SAP
    Since the implementation stage, the support team has been very helpful and assisting. Even in the later stages, the tech team had quite a rapid response. In general, SAP has provided us with great customer support, let it be for a specific product of SAP or for integration of different modules.
    Incentivized
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    In-Person Training
    IBM
    No answers on this topic
    SAP
    Good videos and reference material available in SAP Portal.
    Incentivized
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    Online Training
    IBM
    No answers on this topic
    SAP
    In hindsight, it would have been easier to have someone there in person. Questions were answered, but with 11 participants, it got a bit chaotic online
    Incentivized
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    Implementation Rating
    IBM
    No answers on this topic
    SAP
    SAC is a simple solution ad it works fine when connecting it to other SAP tools. On the other hand, connecting it to third party solutions brings difficulties when there's no previous design and the objetives are not clear. It is really important to integrate Business users from the start to provide with valuable business insights
    Incentivized
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    Alternatives Considered
    IBM
    With effective capabilities and easy to manipulate the features and easy to produce accurate data analytics and the Cloud services Automation, this IBM platform is more reliable and easy to document management. The features on this platform are equipped with excellent big data management and easy to provide accurate data analytics.
    Incentivized
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    SAP
    SAP Analytics Cloud and Power BI are both tools that help businesses understand their data, but they have some differences. SAC, made by SAP, works well if your company already uses other SAP products. It's in the cloud, easy to use, and has features for analyzing data, getting insights, and planning for the future. Power BI, made by Microsoft, can be used in the cloud or on your own computers. It fits well with Microsoft tools, is easy to use, and can do advanced data analysis. SAC has built-in planning tools, while Power BI needs extra tools for detailed planning
    Incentivized
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    Contract Terms and Pricing Model
    IBM
    No answers on this topic
    SAP
    unit pricing
    Incentivized
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    Scalability
    IBM
    No answers on this topic
    SAP
    Is good for use across multiple locations. It allows users to access data and reports from anywhere, regardless of their location. Can consolidate data from various sources, including different SAP systems and external sources, which facilitates cross-location analysis. SAC enables access to data and models from SAP Datasphere to create new stories. Detailed permissions can be defined for cross-departmental use.
    Incentivized
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    Professional Services
    IBM
    No answers on this topic
    SAP
    very simple
    Incentivized
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    Return on Investment
    IBM
    • It’s hard to say at this point, it delivers, but not quite as I expected. It takes a lot of resources to manage and sort this out (manpower, financial).
    • Definitely, I don’t have the exact numbers, but given the data it processes, it is A LOT. So props to the developer of this application.
    • Again, based on my experience, I’d choose other ETL apps if there is one that's more user-friendly.
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    SAP
    • Many manual data manipulations and exports in Excel have been replaced by the tool, providing management with improved insight into the amount of time spent at each stage of an invoice's lifetime, allowing bottlenecks to be discovered.
    • We now have more insight into the data, and people with little technical experience can easily build stories.
    Incentivized
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    ScreenShots